Central Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei province, China.
Department of Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei Province, China.
PeerJ. 2024 Sep 13;12:e17860. doi: 10.7717/peerj.17860. eCollection 2024.
The development and progression of diseases in multicellular organisms unfold within the intricate three-dimensional body environment. Thus, to comprehensively understand the molecular mechanisms governing individual development and disease progression, precise acquisition of biological data, including genome, transcriptome, proteome, metabolome, and epigenome, with single-cell resolution and spatial information within the body's three-dimensional context, is essential. This foundational information serves as the basis for deciphering cellular and molecular mechanisms. Although single-cell multi-omics technology can provide biological information such as genome, transcriptome, proteome, metabolome, and epigenome with single-cell resolution, the sample preparation process leads to the loss of spatial information. Spatial multi-omics technology, however, facilitates the characterization of biological data, such as genome, transcriptome, proteome, metabolome, and epigenome in tissue samples, while retaining their spatial context. Consequently, these techniques significantly enhance our understanding of individual development and disease pathology. Currently, spatial multi-omics technology has played a vital role in elucidating various processes in tumor biology, including tumor occurrence, development, and metastasis, particularly in the realms of tumor immunity and the heterogeneity of the tumor microenvironment. Therefore, this article provides a comprehensive overview of spatial transcriptomics, spatial proteomics, and spatial metabolomics-related technologies and their application in research concerning esophageal cancer, gastric cancer, and colorectal cancer. The objective is to foster the research and implementation of spatial multi-omics technology in digestive tumor diseases. This review will provide new technical insights for molecular biology researchers.
多细胞生物中的疾病发展和演变是在复杂的三维体内环境中展开的。因此,为了全面了解个体发育和疾病进展的分子机制,需要精确获取包括基因组、转录组、蛋白质组、代谢组和表观基因组在内的生物数据,并在体内三维背景下具有单细胞分辨率和空间信息。这些基础信息是破译细胞和分子机制的基础。虽然单细胞多组学技术可以提供具有单细胞分辨率的基因组、转录组、蛋白质组、代谢组和表观基因组等生物信息,但样品制备过程会导致空间信息的丢失。然而,空间多组学技术有助于对组织样本中的生物数据(如基因组、转录组、蛋白质组、代谢组和表观基因组)进行特征描述,同时保留其空间背景。因此,这些技术极大地促进了我们对个体发育和疾病病理的理解。目前,空间多组学技术在阐明肿瘤生物学中的各种过程中发挥了重要作用,包括肿瘤的发生、发展和转移,特别是在肿瘤免疫和肿瘤微环境异质性领域。因此,本文全面概述了与空间转录组学、空间蛋白质组学和空间代谢组学相关的技术及其在食管癌、胃癌和结直肠癌研究中的应用。目的是促进空间多组学技术在消化肿瘤疾病中的研究和应用。这篇综述将为分子生物学研究人员提供新的技术见解。